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Model Development Jobs in Dallas, TX (NOW HIRING)

Apex Informatics

Data Modeler

Plano, TX · On-site

$52.25 - $68/hr

Operational Data Store modeling, design and development * Data mining and producing novel reports for management * Strong Excel Skills with pivots and graphs * Candidates must possess advanced ...

Diverse Lynx

Applied ML Engineer

Dallas, TX

$110K - $140K/yr

Model development, feature engineering, model serving infrastructure, A/B testing integration, explainability (SHAP, LIME), bias detection, model validation and calibration. Healthcare/regulated ...

Hop

Staff Engineer, Agentic Models

Dallas, TX · On-site

Who You Are: • Deeply hands-on with AI model development for agentic systems - your GitHub showcases innovative real-world projects, or you have published technical papers in top conferences ...

Intellisoft Technologies

AI/ML Engineer

Dallas, TX

$58/hr

Generative AI Development: Build LLM-based applications with RAG, structured output, and evaluation frameworks. * AWS ML Engineering: Deploy models using SageMaker pipelines, ECS/ECR, Lambda; manage ...

Hop

Staff Engineer, Agentic Models

Dallas, TX · On-site

Deeply hands-on with AI model development for agentic systems - your GitHub showcases innovative real-world projects, or you have published technical papers in top conferences demonstrating your ...

MM International

AI/ML Engineer

Dallas, TX · On-site

... model development • Good knowledge of data quality & data management platforms ( Informatica is a plus ) Nice to Haves: • Experience in design, development, and implementation of scalable API ...

Kalibrate

Customer Success Manager (US)

Dallas, TX · On-site +1

Coordinate with model development and implementation teams, while not directly responsible for: * Building models * Quality control (QC) of model development * QC of model implementation Commercial ...

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Showing results 1-20

All JobsModel Development JobsModel Development Jobs in Dallas, TX

Model Development information

See Dallas, TX salary details

$49.5K

$106.5K

$171.6K

How much do model development jobs pay per year?

As of Jun 11, 2026, the average yearly pay for model development in Dallas, TX is $106,537.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,100.00 and $120,200.00 per year, depending on experience, location, and employer.

What is the difference between Model Development vs Data Analysis?

AspectModel DevelopmentData Analysis
Required CredentialsDegree in Data Science, Statistics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; analytical skills
Work EnvironmentDeveloping predictive models, coding, testing algorithmsInterpreting data, generating reports, identifying trends
Industry UsageUsed in machine learning, AI, predictive analyticsUsed in business intelligence, reporting, data visualization

Model Development focuses on creating algorithms and predictive models using programming and statistical techniques, often in machine learning contexts. Data Analysis involves examining datasets to extract insights, generate reports, and support decision-making. While both roles require strong analytical skills, Model Development emphasizes building models, whereas Data Analysis centers on interpreting data and communicating findings.

What are typical challenges faced by professionals in Model Development roles, and how can they be addressed?

Model Development professionals often face challenges such as managing large and complex datasets, ensuring model accuracy and regulatory compliance, and effectively communicating technical findings to non-technical stakeholders. Addressing these challenges requires strong data management practices, staying updated with the latest industry regulations, and honing communication skills to translate complex results into actionable insights. Collaboration with cross-functional teams, such as data engineers and business analysts, is also key to successful model implementation and ongoing performance monitoring.

What jobs in the US pay 300,000 a year?

In the field of model development, senior roles such as Lead Data Scientist, Machine Learning Engineer, or Quantitative Analyst can reach or exceed a $300,000 annual salary, especially with extensive experience, advanced skills in programming and statistical analysis, and work in finance, technology, or research sectors. These positions often require advanced degrees, strong technical expertise, and sometimes certifications like CFA or specialized training in AI and data modeling.

Which 3 jobs will survive AI?

For Model Development professionals, jobs that require complex creativity, strategic decision-making, and human interaction are more likely to survive AI advancements. Roles such as data scientists, AI ethics specialists, and AI system trainers involve nuanced judgment and domain expertise that are difficult to automate fully. Continuous learning and expertise in programming, machine learning frameworks, and domain-specific knowledge are essential for long-term job security in this field.

What job makes $10,000 a month without a degree?

In model development, high earnings of $10,000 or more per month are typically associated with experienced professionals working in industries like fashion, commercial, or fitness modeling, often requiring strong portfolios, networking, and sometimes agency representation. Success in modeling depends on factors such as market demand, personal appearance, and branding, rather than formal education, and many models are self-employed or work on contract basis with flexible schedules.

What are the key skills and qualifications needed to thrive in Model Development, and why are they important?

To thrive in Model Development, you need a strong background in statistics, mathematics, programming (often in Python or R), and a relevant degree such as in data science, economics, or computer science. Familiarity with machine learning frameworks, statistical modeling tools, and data visualization platforms is typically required, along with certifications like SAS or FRM being advantageous. Strong analytical thinking, attention to detail, and effective communication skills help professionals interpret data, validate models, and explain results to stakeholders. These skills ensure robust, compliant, and actionable models that drive sound business decisions.

What does a model developer do?

A model developer designs, builds, and tests mathematical or machine learning models to solve specific problems or make predictions. They often work with programming languages like Python or R, utilize data analysis tools, and ensure models are accurate and reliable for deployment in real-world applications.

What is model development?

Model development is the process of designing, building, testing, and refining mathematical, statistical, or machine learning models to solve specific business or research problems. These models are used to analyze data, make predictions, or automate decision-making. The process typically involves data collection, feature engineering, model selection, training, validation, and ongoing monitoring to ensure accuracy and relevance. Model developers often work in fields like finance, healthcare, and technology, where data-driven insights are crucial.
What are popular job titles related to Model Development jobs in Dallas, TX? For Model Development jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Model Development jobs in Dallas, TX look for? The top searched job categories for Model Development jobs in Dallas, TX are:
Model Development jobs near you
Machine Learning Data Engineer

Machine Learning Data Engineer

HonorVet Technologies

Dallas, TX • Hybrid

$113K - $136K/yr

Other

Posted 25 days ago

Job description

Position: Machine Learning Data Engineer
Location: Hybrid 2 days/week in Dallas, TX or Boston, MA
Duration: 3+ month contract; Strong potential for extension
Only W2
Overview:
Our client in the commercial banking domain is hiring two Machine Learning Data Engineers to support a high-impact initiative within the Data Quality Team. One role will focus on solution architecture, requiring experience implementing a full machine learning framework. The second will be more of an Engineer/Business Analyst hybrid, supporting the lead architect and contributing to model development and automation efforts.
These roles are part of a strategic effort to automate the review of over 25,000 data quality rules currently being manually aggregated and analyzed. The goal is to build and implement a prototype ML model by year-end, so candidates must be available for a fast-paced delivery timeline (no extended time off planned in December).
Project Scope:
  • Automate the rule review process currently handled manually using Informatica IDQ, with a transition toward Snowflake.
  • Develop and deploy a Machine Learning model to analyze rule pass/fail outcomes.
  • Improve efficiency by reducing manual resource dependency through intelligent automation.

Responsibilities:
  • Follow the company's software development lifecycle to design, code, configure, test, debug, and document system and application programs.
  • Prepare technical design specifications based on functional requirements and analysis documents.
  • Participate in architecture, design, and code reviews.
  • Collaborate with development staff to ensure quality and consistency.
  • Develop and maintain operational and system-level documentation.
  • Build and implement a prototype ML model with a quick turnaround.
  • Support scalable API integrations between internal and external systems (nice to have).

Core Requirements:
  • Strong command of SQL and experience with relational databases (e.g., PostgreSQL, MySQL, Oracle, Snowflake).
  • Proficient in Python and/or R for data analysis and model development.
  • Experience with ML/AI programming and modern machine learning standards.
  • Hands-on experience with cloud platforms (AWS, Azure, GCP) and services like Lambda, S3, Azure Functions, BigQuery.
  • Familiarity with automation frameworks (e.g., Power Automate, Python scripting).
  • Understanding of data quality, management, and governance concepts.
  • Experience with Web Application Server enhancements and infrastructure standards.

Preferred Qualifications (Nice-to-Haves):
  • Experience with Informatica IDQ.
  • Familiarity with Snowflake ML libraries or programming extensions.
  • Background in designing and implementing scalable API integrations.

Soft Skills:
  • Highly motivated, proactive, and collaborative team player.
  • Able to work independently and meet tight deadlines.
  • Strong communication and problem-solving skills.
HonorVet Technologies logo

About HonorVet Technologies

Sourced by ZipRecruiter

HonorVet Technologies, located in Fairfield, NJ, US, is a technology-driven company with a unique dimension - enhancing veteran engagement in the workforce. Founded with the goal of supporting and preserving professional veterans while satisfying the IT and professional needs of businesses, HonorVet Technologies brings a particular focus to diversity and veteran hiring, making it a standout player in the IT and Staffing industries. Functioning as a veteran-driven community entity, the firm offers IT staffing, bespoke development, and consulting services, with the aim of connecting talents with IT-related job opportunities.

Industry

Recruiting and staffing services

Company size

201 - 500 Employees

Headquarters location

Fairfield , NJ, US

Year founded

2015

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